Brother, your journal shows a profit factor of 2.8. Looks pretty good, right? But somewhere inside, you probably feel something is off — because one trade tripled in size and made up 60% of your total profit.
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Stop fooling yourself. That one windfall trade may be making you misjudge the true quality of your strategy. Today, no beating around the bush. Use this simple three-step check to decide whether that money should be removed from your statistics.
Step 1: Do the math — what does the profit factor become after removing that trade?
[What to do]: Delete the largest winning trade from your trade record, recalculate the profit factor, and see how much of your "real performance" remains.
[How to do it]: Open your journal or spreadsheet.
Find the amount of your largest winning trade.
Use total profit minus this winning trade to get the "adjusted total profit."
Recalculate the profit factor: adjusted total profit ÷ total loss.
[Completion standard]: Calculate two numbers — the original profit factor vs. the adjusted profit factor.
How to read the result:
If the adjusted profit factor drops from 2.8 to below 1.5: your strategy is highly dependent on this lucky trade.
If the adjusted profit factor is still above 1.5: the trade is large, but your system can still survive on its own.
Step 2: Check one more dimension — how did this trade happen?
[What to do]: Determine whether this windfall was a "planned result" or "unplanned luck."
[How to do it]: Review your entry record and compare it with the "entry reason" and "planned take-profit price" you wrote at the time.
Case A (Planned): You entered strictly according to your strategy, and your take-profit price was already set at that level. This profit is the expected "fat tail" of your strategy — your system was designed to capture this kind of move.
Case B (Unplanned): Your original take-profit was not reached. Later, because you "felt it could go higher" or wanted to "wait and see," you did not close. Then luck pushed the market up. Or you temporarily changed your position size or moved your stop loss — this is an unexpected gain caused by execution deviation.
Case B is not a strong strategy. It is luck. If you record this as part of the strategy's "normal performance," next time you see the same signal, you may dare to take a heavy position. Then the market will not give you the same luck, and you will blow up.
Risk reminder: The profit factor only looks at the total result. It does not care how profit is distributed. A profit factor supported by a few huge winning trades can make you overestimate the stability of your strategy. Then you may trade too heavy in a live account — and when the market environment changes, that windfall no longer appears, and your account collapses.
Step 3: Make a conclusion — keep it or remove it?
[What to do]: Combine the two steps above and decide how to treat this trade in your statistics and decision-making.
[How to do it]: Use this table to judge:
| Adjusted profit factor | How the trade happened | Conclusion |
|---|---|---|
| Still ≥ 1.5 | Planned | Keep it. It shows your strategy can capture extreme moves, and that is part of its ability. |
| Drops below 1.5 | Planned | Be cautious but do not delete it. Keep it to reflect the full picture, but accept that the strategy essentially depends on a few large trades. In your review, mark the "dependency" level separately and do not hide it. |
| Drops below 1.5 | Unplanned (luck/execution deviation) | Mark it separately. When evaluating the strategy, at least remove it first to see the baseline, then note separately that there is an "abnormal trade." Never use data that includes this trade to judge whether the strategy is good or bad. |
TradeStation's approach provides a useful reference: they remove outlier trades that exceed 3 standard deviations from the average trade to calculate the "Select Profit Factor." This method makes sense — but only if you know the outlier is truly not repeatable.
FAQ
Q: Should I treat windfall trades in backtests the same way?
A: Even more strictly. A windfall trade in a backtest is likely the result of overfitting — your parameters happened to match that specific past market move. If your backtest profit factor exceeds 3.0, that is basically a warning sign.
Q: What happens if I do not remove this trade?
A: You may misjudge the stability of your strategy and then take positions in live trading that exceed your actual risk tolerance. A strategy with a high but unstable profit factor is often more likely to blow up your account than a strategy with a lower but stable profit factor.
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Next action
Open your journal and find your largest winning trade. Follow Step 1 and Step 2, calculate the adjusted profit factor, and determine where it came from. Then write the conclusion next to that trade — "planned, keep it" or "luck trade, exclude from strategy evaluation."
If you find that the profit factor collapses after removing it, cut your position size in half for the next month. Rebuild a sample of at least 100 trades and then see what the true profit factor really is.
